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Local policymakers' attitudes towards climate change: a multi-method case study

Local policymakers' attitudes towards climate change: a multi-method case study

Ghinoi, Stefano ORCID: 0000-0002-9857-4736, De Vita, Riccardo and Silvestri, Francesco (2021) Local policymakers' attitudes towards climate change: a multi-method case study. Social Networks. ISSN 0378-8733 (In Press) (doi:https://doi.org/10.1016/j.socnet.2021.09.001)

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Abstract

Local authorities play a key role in tackling climate change by implementing targeted adaptation and mitigation measures. The specific implementation of a mix of adaptation and mitigation strategies is the outcome of the interaction of policymakers through a political debate and their attitudes towards climate change. By concentrating on the political discourses occurring in the Assembly of an Italian region (Emilia-Romagna), we use a multi-method approach of Discourse Network Analysis and Concept Mapping to investigate local policymakers’ positioning. Our investigation shows that actors are grouped not only according to their political affiliation, but also to the debated topics, and this relates to the preference for supporting adaptation or mitigation measures, which characterizes the local policy debate.

Item Type: Article
Uncontrolled Keywords: Climate change, political debate, multi-method, local policymaker
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography
J Political Science > JS Local government Municipal government
Faculty / School / Research Centre / Research Group: Faculty of Business
Faculty of Business > Department of International Business & Economics
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Related URLs:
Last Modified: 01 Nov 2021 13:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33945

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